Asymmetric effects of natural and socioeconomic factors on PM2.5 pollution in Chinese counties DOI Creative Commons
Biao Sun, Jihong Li

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 31, 2025

With rapid urbanization intensifying air pollution, especially PM2.5, which poses a serious threat to public health, clarifying its spatial differentiation patterns and driving mechanisms is of great practical significance. As factors may exert different magnitudes even opposite directions influence across PM2.5 levels, accounting for asymmetric effects essential designing targeted effective governance strategies. We developed zoning plan 2851 counties in China using annual average remote sensing data from 2000 2015. Geographic detectors quantile regression models were used reveal the dominant affecting pollution 2015, respectively. The results show significant agglomeration (Moran's I = 0.9387), with pronounced divergence Hu Huanyong Line. Combining classification temporal trends 84.5% need be treated (523 belong key zone), 15.5% are classified as coexistence areas. influences socio-economic on (additive q-value 0.7881) greater than those natural condition 0.7036), land leading factor. interesting findings that coefficient population size declines increasing quantiles-its effect at 10th (0.1104) nearly four times 90th (0.0296), showed an inverted U-shaped curve, while per capita GDP presented trend. Moreover, favorable conditions have mitigated local pollution. These uncover how drivers perform differently varying offering novel insights into regulation.

Language: Английский

Asymmetric effects of natural and socioeconomic factors on PM2.5 pollution in Chinese counties DOI Creative Commons
Biao Sun, Jihong Li

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 31, 2025

With rapid urbanization intensifying air pollution, especially PM2.5, which poses a serious threat to public health, clarifying its spatial differentiation patterns and driving mechanisms is of great practical significance. As factors may exert different magnitudes even opposite directions influence across PM2.5 levels, accounting for asymmetric effects essential designing targeted effective governance strategies. We developed zoning plan 2851 counties in China using annual average remote sensing data from 2000 2015. Geographic detectors quantile regression models were used reveal the dominant affecting pollution 2015, respectively. The results show significant agglomeration (Moran's I = 0.9387), with pronounced divergence Hu Huanyong Line. Combining classification temporal trends 84.5% need be treated (523 belong key zone), 15.5% are classified as coexistence areas. influences socio-economic on (additive q-value 0.7881) greater than those natural condition 0.7036), land leading factor. interesting findings that coefficient population size declines increasing quantiles-its effect at 10th (0.1104) nearly four times 90th (0.0296), showed an inverted U-shaped curve, while per capita GDP presented trend. Moreover, favorable conditions have mitigated local pollution. These uncover how drivers perform differently varying offering novel insights into regulation.

Language: Английский

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